Prof. Marc Deisenroth

Prof. Marc Deisenroth

Director of machine learning lab in Imperial's Data Science Institute

Professor Marc Deisenroth is the DeepMind Chair of Machine Learning and Artificial Intelligence at University College London (UCL) and the Deputy Director of the UCL Centre for Artificial Intelligence. He also holds a visiting faculty position at the University of Johannesburg. Marc leads the Statistical Machine Learning Group at UCL. His research interests center around data-efficient machine learning, probabilistic modeling, and autonomous decision-making with applications in climate/weather science and robotics.

Marc was Program Chair of EWRL 2012, Workshops Chair of RSS 2013, EXPO Chair at ICML 2020, Tutorials Chair at NeurIPS 2021, and Program Chair at ICLR 2022. He is an elected member of the ICML Board. He received Paper Awards at ICRA 2014, ICCAS 2016, ICML 2020, and AISTATS 2021. In 2019, Marc co-organized the Machine Learning Summer School in London. In 2018, Marc spent four months at the African Institute for Mathematical Sciences (Rwanda), where he taught a course on the Foundations of Machine Learning as part of the African Masters in Machine Intelligence. He is a co-author of the book, Mathematics for Machine Learning, published by Cambridge University Press

Research Interest

-Data-efficient and autonomous machine learning with a focus on probabilistic models.

Publications